Instructions to use bziemba/SecureBERT-MultiTask-CVSS-CWE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bziemba/SecureBERT-MultiTask-CVSS-CWE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, SecureBERTMultiHead tokenizer = AutoTokenizer.from_pretrained("bziemba/SecureBERT-MultiTask-CVSS-CWE") model = SecureBERTMultiHead.from_pretrained("bziemba/SecureBERT-MultiTask-CVSS-CWE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bziemba/SecureBERT-MultiTask-CVSS-CWE: direct link, hf CLI and curl.
- Browser
- Download file 675 MB
-
https://huggingface.co/bziemba/SecureBERT-MultiTask-CVSS-CWE/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bziemba/SecureBERT-MultiTask-CVSS-CWE/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bziemba/SecureBERT-MultiTask-CVSS-CWE/resolve/main/pytorch_model.bin
675 MB
- Xet hash:
- 00eda7fa5b79ca8cadad030e2a89c53b115a2f6c4a884be361176866016e5ade
- Size of remote file:
- 675 MB
- SHA256:
- bec0e8e1875b61a1b5e49a4d8f79f29510c78974d36a5c200276435ffa3ad7f8
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